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Characterization and predictive risk scoring of long COVID in a south indian cohort after breakthrough COVID infection; a prospective single centre study

BMC infectious diseases, 2023-10, Vol.23 (1), p.1-670, Article 670 [Peer Reviewed Journal]

COPYRIGHT 2023 BioMed Central Ltd. ;2023. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;BioMed Central Ltd., part of Springer Nature 2023 ;ISSN: 1471-2334 ;EISSN: 1471-2334 ;DOI: 10.1186/s12879-023-08600-6 ;PMID: 37814234

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Title:
Characterization and predictive risk scoring of long COVID in a south indian cohort after breakthrough COVID infection; a prospective single centre study
Author: Nair, Pranav ; Nair, Chithira V ; Kulirankal, Kiran G ; Corley, Elizabeth M ; Edathadathil, Fabia ; Gutjahr, Georg ; Moni, Merlin ; Sathyapalan, Dipu T
Subjects: Asthma ; Asymptomatic ; Breakthrough infections ; Care and treatment ; Comorbidity ; Complications ; Complications and side effects ; Coronary artery disease ; Coronary heart disease ; COVID-19 ; COVID-19 vaccines ; Diabetes ; Diabetes mellitus ; Diagnosis ; Disease transmission ; Dyslipidemia ; Heart diseases ; Hospitals ; Hypertension ; Infection ; Infections ; Intensive care ; Long COVID ; Medical research ; Medicine, Experimental ; Observational studies ; Pandemics ; Patients ; Population studies ; Post COVID syndrome ; Public health ; Quality of life ; Questionnaires ; Risk assessment ; Severe acute respiratory syndrome coronavirus 2 ; Signs and symptoms ; Statistical analysis ; Vaccination ; Vaccines ; Viral diseases ; Viral infections
Is Part Of: BMC infectious diseases, 2023-10, Vol.23 (1), p.1-670, Article 670
Description: With the World Health Organization (WHO) declaring an end to the COVID-19 pandemic, the focus has shifted to understanding and managing long-term post-infectious complications. "Long COVID," characterized by persistent or new onset symptoms extending beyond the initial phase of infection, is one such complication. This study aims to describe the incidence, clinical features and risk profile of long COVID among individuals in a South Indian cohort who experienced post-ChAdOx1 n-Cov-2 vaccine breakthrough infections. A single-centre hospital-based prospective observational study was conducted from October to December 2021. The study population comprised adult patients (> 18 years) with a confirmed COVID-19 diagnosis who had received at least a single dose of vaccination. Data was collected using a specially tailored questionnaire at week 2, week 6, and week 12 post-negative COVID-19 test. A propensity score based predictive scoring system was developed to assess the risk of long COVID. Among the 414 patients followed up in the study, 164 (39.6%) reported long COVID symptoms persisting beyond 6 week's post-infection. The presence of long COVID was significantly higher among patients above 65 years of age, and those with comorbidities such as Type II Diabetes Mellitus, hypertension, dyslipidemia, coronary artery disease, asthma, and cancer. Using backwards selection, a reduced model was developed, identifying age (OR 1.053, 95% CI 0.097-1.07, p < 0.001), hypertension (OR 2.59, 95% CI 1.46-4.59, p = 0.001), and bronchial asthma (OR 3.7176, 95% CI 1.24-11.12, p = 0.018) as significant predictors of long COVID incidence. A significant positive correlation was observed between the symptomatic burden and the number of individual comorbidities. The significant presence of long COVID at 12 weeks among non-hospitalised patients underscores the importance of post-recovery follow-up to assess for the presence of long COVID. The predictive risk score proposed in this study may help identify individuals at risk of developing long COVID. Further research is needed to understand the impact of long COVID on patients' quality of life and the potential role of tailored rehabilitation programs in improving patient outcomes.
Publisher: London: BioMed Central Ltd
Language: English
Identifier: ISSN: 1471-2334
EISSN: 1471-2334
DOI: 10.1186/s12879-023-08600-6
PMID: 37814234
Source: Open Access: DOAJ Directory of Open Access Journals
Open Access: PubMed Central
Geneva Foundation Free Medical Journals at publisher websites
AUTh Library subscriptions: ProQuest Central
Coronavirus Research Database
Springer OA刊
ROAD: Directory of Open Access Scholarly Resources

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Characterization and predictive risk scoring of long COVID in a south indian cohort after breakthrough COVID infection; a prospective single centre study

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